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Practice: Fixer Upper

The usual process is to start making figures that are simple and then iterating to improve them. Naturally, almost all figures start, well, not great.

Work with the classmate next to you and improve our “first pass” figures we started last class.

Use the guidelines above.

My turn: Oh the possibilities

In the last lecture page, I introduced a larger set of firm accounting variables. I want to show you how far we can push this.

If you want to see the code that makes these, view the raw ipynb file on GitHub The code uses plotly’s subpackage plotly-express which is ridiculously easy to use.

One more

This is a replication of a famous Hans Rosling TED talk figure using the well-known gapminder data:

Before next class

  1. Improve all of the plots in the Visualization Practice page.

  2. Flip through the links above and the references in the Making Viz page. Make note of any neat chart types or alterations that improve charts that you would like to implement sometime.

  3. Now that we have most of our toolkit in place, read What I do when I get a new data set as told through tweets.

References

See the last lecture.